In 2023, the number of people working in the life, health, medical insurance industry in the United States increased by 12,000 reaching approximately 912,300 employees compared to the previous year which accounted around 900,900 people. This number steadily increased from 2005 to 2020. In 2023, the number of employees was higher than 2022, but still lower than 2020.

In 2023, there were approximately ******million people employees in the insurance sector in the United States. Employment in the insurance industry Employment within the insurance industry has shown significant growth since 1960. Each decade, between 1960 and 2000, there was an increase in the number of employees which were employed in the industry – increasing by around ******* employees each decade. However, between 2000 and 2010, the number of employees declined from **** million to **** million. Some recovery and growth within employment can be seen to have occurred in 2014. This growth is likely the result of increasing numbers of agents, brokers and service employees in the insurance industry, which has been positive since 2010. Variation between segments The number of health insurance employees has also seen growth, but the number of employees in life insurance saw a significant decrease between 2000 and 2005 and stagnation ever since. Stagnation within industry employment is believed to be the result of many health insurance professionals entering retirement and these positions being left vacant or being replaced by increasing automation within the industry. The number of employees in the U.S. reinsurance industry has experienced an increasing trend in the last years, however, a lack of job growth within the industry is also seen as a threat to the business model of insurance companies.

Among all firms, the percentage of employees covered by self-funded plans had increased from 44 percent in 1999 to a record high of 69 percent in 2020 before decreasing slightly to 64 percent in 2021 and then increasing to 67 percent in 2022. As of 2025, the percentage remains at 67 percent. Self-funded plans are those in which companies choose to pay for some or all of the health services of their workers directly rather than purchasing health insurance for them.

United States Health Insurance: Claims Per Member Per Month: Federal Employees Health Benefits Program data was reported at 393.000 USD in 2023. This records an increase from the previous number of 371.000 USD for 2022. United States Health Insurance: Claims Per Member Per Month: Federal Employees Health Benefits Program data is updated yearly, averaging 348.000 USD from Dec 2007 (Median) to 2023, with 17 observations. The data reached an all-time high of 393.000 USD in 2023 and a record low of 303.570 USD in 2007. United States Health Insurance: Claims Per Member Per Month: Federal Employees Health Benefits Program data remains active status in CEIC and is reported by National Association of Insurance Commissioners. The data is categorized under Global Database’s United States – Table US.RG022: Health Insurance: Operations by Lines of Business.

According to the latest data, among all firms, 71 percent of employees were covered by preferred provider organization (PPO) self-funded insurance. Self-funded plans are those in which the employer assumes direct financial responsibility for the costs of enrollees’ medical claims rather than purchasing health insurance for them.

United States Health Insurance: Net Earned Premium: Federal Employees Health Benefits Program data was reported at 46.087 USD bn in 2023. This records an increase from the previous number of 43.678 USD bn for 2022. United States Health Insurance: Net Earned Premium: Federal Employees Health Benefits Program data is updated yearly, averaging 36.313 USD bn from Dec 2007 (Median) to 2023, with 17 observations. The data reached an all-time high of 46.087 USD bn in 2023 and a record low of 24.680 USD bn in 2007. United States Health Insurance: Net Earned Premium: Federal Employees Health Benefits Program data remains active status in CEIC and is reported by National Association of Insurance Commissioners. The data is categorized under Global Database’s United States – Table US.RG022: Health Insurance: Operations by Lines of Business.

United States Health Insurance: Accident and Health: Covered Lives: Federal Employees Health Benefits Program data was reported at 10,707,769.000 Person in 2023. This records an increase from the previous number of 10,427,783.000 Person for 2022. United States Health Insurance: Accident and Health: Covered Lives: Federal Employees Health Benefits Program data is updated yearly, averaging 8,213,651.000 Person from Dec 2015 (Median) to 2023, with 9 observations. The data reached an all-time high of 10,707,769.000 Person in 2023 and a record low of 6,721,676.000 Person in 2018. United States Health Insurance: Accident and Health: Covered Lives: Federal Employees Health Benefits Program data remains active status in CEIC and is reported by National Association of Insurance Commissioners. The data is categorized under Global Database’s United States – Table US.RG021: Health Insurance: Accident and Health: Number of Covered Lives by Lines of Business.

United States Health Insurance: Net Underwriting Gain/(Loss): Federal Employees Health Benefits Program data was reported at 47.000 USD mn in 2023. This records a decrease from the previous number of 230.000 USD mn for 2022. United States Health Insurance: Net Underwriting Gain/(Loss): Federal Employees Health Benefits Program data is updated yearly, averaging 252.000 USD mn from Dec 2007 (Median) to 2023, with 17 observations. The data reached an all-time high of 559.000 USD mn in 2020 and a record low of 47.000 USD mn in 2023. United States Health Insurance: Net Underwriting Gain/(Loss): Federal Employees Health Benefits Program data remains active status in CEIC and is reported by National Association of Insurance Commissioners. The data is categorized under Global Database’s United States – Table US.RG022: Health Insurance: Operations by Lines of Business.

United States Health Insurance: Enrollment: Federal Employees Health Benefits Program data was reported at 9.000 USD mn in 2023. This stayed constant from the previous number of 9.000 USD mn for 2022. United States Health Insurance: Enrollment: Federal Employees Health Benefits Program data is updated yearly, averaging 7.000 USD mn from Dec 2007 (Median) to 2023, with 17 observations. The data reached an all-time high of 9.000 USD mn in 2023 and a record low of 6.000 USD mn in 2009. United States Health Insurance: Enrollment: Federal Employees Health Benefits Program data remains active status in CEIC and is reported by National Association of Insurance Commissioners. The data is categorized under Global Database’s United States – Table US.RG022: Health Insurance: Operations by Lines of Business.

This statistic shows the number of nonelderly adult workers without health insurance in the U.S. in 2023, sorted by work status. Around 11.2 million workers who were full-time workers were uninsured in that year.

Graph and download economic data for Expenditures: Health Insurance by Occupation: Self-Employed Workers (CXUHLTHINSRLB1202M) from 1984 to 2023 about self-employed, occupation, health, insurance, workers, expenditures, and USA.

This report tracks the number of people covered by private health insurance in the United States. The data includes coverage either provided by employers or purchased directly from an insurer or a health maintenance organization. The data does not include government-provided health insurance such as Medicaid, Medicare and military health care. Data is sourced from the US Census Bureau.

United Healthcare Transparency in Coverage Dataset

Unlock the power of healthcare pricing transparency with our comprehensive United Healthcare Transparency in Coverage dataset. This invaluable resource provides unparalleled insights into healthcare costs, enabling data-driven decision-making for insurers, employers, researchers, and policymakers.

Key Features:

• Extensive Coverage: Access detailed pricing information for a wide range of medical procedures and services across the United States, covering approximately 76,000 employers.
• Granular Data: Analyze costs at the provider, plan, and employer levels, allowing for in-depth comparisons and trend analysis.
• Massive Scale: Over 400TB of data generated monthly, providing a wealth of information for comprehensive analysis.
• Historical Perspective: Track pricing changes over time to identify patterns and forecast future trends.
• Regular Updates: Stay current with the latest pricing information, ensuring your analyses are always based on the most recent data.

Detailed Data Points:

For each of the 76,000 employers, the dataset includes: 1. In-network negotiated rates for covered items and services 2. Historical out-of-network allowed amounts and billed charges 3. Cost-sharing information for specific items and services 4. Pricing data for medical procedures and services across providers, plans, and employers

Use Cases

For Insurers: - Benchmark your rates against competitors - Optimize network design and provider contracting - Develop more competitive and cost-effective insurance products

For Employers: - Make informed decisions about health plan offerings - Negotiate better rates with insurers and providers - Implement cost-saving strategies for employee healthcare

For Researchers: - Conduct in-depth studies on healthcare pricing variations - Analyze the impact of policy changes on healthcare costs - Investigate regional differences in healthcare pricing

For Policymakers: - Develop evidence-based healthcare policies - Monitor the effectiveness of price transparency initiatives - Identify areas for potential cost-saving interventions

Data Delivery

Our flexible data delivery options ensure you receive the information you need in the most convenient format:

• Custom Extracts: We can provide targeted datasets focusing on specific regions, procedures, or time periods.
• Regular Reports: Receive scheduled updates tailored to your specific requirements.

Why Choose Our Dataset?

1. Expertise: Our team has extensive experience in healthcare data retrieval and analysis, ensuring high-quality, reliable data.
2. Customization: We can tailor the dataset to meet your specific needs, whether you're interested in particular companies, regions, or procedures.
3. Scalability: Our infrastructure is designed to handle the massive scale of this dataset (400TB+ monthly), allowing us to provide comprehensive coverage without compromise.
4. Support: Our dedicated team is available to assist with data interpretation and technical support.

Harness the power of healthcare pricing transparency to drive your business forward. Contact us today to discuss how our United Healthcare Transparency in Coverage dataset can meet your specific needs and unlock valuable insights for your organization.

United States Health Insurance: Loss Ratio: Federal Employees Health Benefits Program data was reported at 93.700 % in 2023. This records an increase from the previous number of 93.300 % for 2022. United States Health Insurance: Loss Ratio: Federal Employees Health Benefits Program data is updated yearly, averaging 93.300 % from Dec 2007 (Median) to 2023, with 17 observations. The data reached an all-time high of 93.700 % in 2023 and a record low of 90.700 % in 2020. United States Health Insurance: Loss Ratio: Federal Employees Health Benefits Program data remains active status in CEIC and is reported by National Association of Insurance Commissioners. The data is categorized under Global Database’s United States – Table US.RG022: Health Insurance: Operations by Lines of Business.

A dataset-style roundup of U.S. large group health insurance statistics for 2025–2026, covering premiums, employer/employee contributions, offer and take-up rates, self-funded vs fully insured adoption, stop-loss usage, compliance benchmarks, prescription drug spend, telehealth adoption, cost-sharing, and 2026 outlook.

United States - Supplements to Wages and Salaries: Health insurance: Publicly administered government employee insurance funds was 10.22500 Bil. of $ in January of 2023, according to the United States Federal Reserve. Historically, United States - Supplements to Wages and Salaries: Health insurance: Publicly administered government employee insurance funds reached a record high of 11.49800 in January of 2007 and a record low of 0.00000 in January of 1999. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Supplements to Wages and Salaries: Health insurance: Publicly administered government employee insurance funds - last updated from the United States Federal Reserve on November of 2025.

** percent of workers in the American retail sector were covered by self-funded health insurance in 2025. Self-funded plans are those in which companies choose to pay for some or all of the health services of their workers directly rather than purchasing health insurance for them. Agriculture, mining and construction, on the other hand whose workers were less covered in this mechanism, with around ** percent of workers covered.

The Medical Expenditure Panel Survey Insurance Component (MEPS-IC) is an annual survey of private employers and State and local governments. The MEPS-IC produces national and State level estimates of employer-sponsored insurance, including offered plans, costs, employee eligibility, and number of enrollees. With the MEPS-IC Data Tools, users can interactively explore maps, trends, and cross-sectional bar charts for topics related to national and state-level employer-based health insurance for employer characteristics/offerings; employee take-up; premiums; contributions; and cost-sharing. The MEPS-IC is sponsored by the Agency for Healthcare Research and Quality and is fielded by the U.S. Census Bureau.

Graph and download economic data for Supplements to Wages and Salaries: Health insurance: Publicly administered government employee insurance funds (Y390RC1A027NBEA) from 2002 to 2023 about supplements, public, health, insurance, salaries, wages, government, employment, GDP, and USA.